Evidence map›Paper›PMID 39329088›Full record

ArticleF1000Research2022

Desired support system to eradicate urban homelessness: an exploratory descriptive study.

Noor Ashikin Mohd Rom, Nurbani Md Hassan, Al-Mansor Abu Said, Burhanuddin Bachik

Abstract read
In one paragraph

Article in F1000Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Noor Ashikin Mohd RomFaculty of Management, Multimedia University, Cyberjaya, Selangor, 63100, Malaysia.ORCID 0000-0001-6001-172X
Nurbani Md HassanFaculty of Management, Multimedia University, Cyberjaya, Selangor, 63100, Malaysia.ORCID 0000-0003-3098-682X
Al-Mansor Abu SaidFaculty of Business, Multimedia University, Cyberjaya, Selangor, 63100, Malaysia.
Burhanuddin BachikKementerian Pembangunan Wanita, Keluarga dan Masyarakat, Bandar Melaka, Melaka, 75564, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background - The new increasing homeless lately consist of women, children, youth, the elderly and marginalized ethnic or migrant groups. Some of them are working and earn salaries, however, the income is not sufficient to live modestly. Purpose - The purpose of this research is to establish a desired support system to eradicate urban homelessness in the country. Design/methodology/approach - This is an exploratory descriptive method study which employed quantitative techniques.  The study employed a social ecological model to investigate behavior of homeless via multiple levels of influences including intrapersonal, interpersonal, organizational, community and public policy. Surveys have been conducted on sixty-five homeless individuals.  Findings - It was found that support systems and structures should be derived from the whole streams from families, communities, organizations and government. Employment opportunities, long-term shelters within the community places and highly demanded skills are needed to improve their living condition. Research limitations - This study is only focused on the socio-economic structures of the homeless in a capital city. Originality/value - This is an empirical research using a social ecological model for the homeless in the Kuala Lumpur area. Research on homeless study has received little attention and has yet to be fully explored.

Indexed as

Ill-Housed PersonsUrban PopulationAdultFemaleHumansMaleMiddle AgedSocial SupportYoung Adultgovernment policyHomelesssocial-ecological modelsupport systemvagrants

Identifiers

PMID39329088
PMCPMC11425782

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.